Triple
T15244043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meridian Column |
E364331
|
entity |
| Predicate | hasGeodeticPurpose |
P117750
|
FINISHED |
| Object | determination of Earth’s size |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: determination of Earth’s size | Statement: [Meridian Column, hasGeodeticPurpose, determination of Earth’s size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeodeticPurpose Context triple: [Meridian Column, hasGeodeticPurpose, determination of Earth’s size]
-
A.
isGeocentric
Indicates that something is centered around, or takes the Earth as the central reference point in, a spatial or cosmological framework.
-
B.
hasGeographicBasis
Indicates that something is grounded in, derived from, or defined by a particular geographic location or area.
-
C.
usesEllipsoid
Indicates that one entity employs or is based on a particular ellipsoid as its geometric or reference model.
-
D.
hasGeodesics
Indicates that the subject possesses or is characterized by geodesic paths, typically representing shortest or straightest possible routes within a given space or geometry.
-
E.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.